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Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU
Summary: Pangolin is a GPM framework for CPU and GPU with extend-reduce-filter interface for pruning and isomorphism elimination. Locality- and memory-aware optimizations reduce allocations and synchronization, delivering substantial CPU and GPU speedups over prior GPM systems.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12036
- Venue
- VLDB
- Year
- 2020
- Pagerank
- 7.7214924e-05
- Overall Rank
- 3,009 | 79.07%
- DOI
-
10.14778/3389133.3389137
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 5,474 |
Efficient Load-Balanced Butterfly Counting on GPU |
2022 |
VLDB |
5.4881807e-05 |
| 5,728 |
Circinus: Fast Redundancy-Reduced Subgraph Matching |
2023 |
SIGMOD |
5.3507988e-05 |
| 6,001 |
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra |
2021 |
VLDB |
5.2415551e-05 |
| 6,281 |
A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction |
2024 |
SIGMOD |
5.128862e-05 |
| 7,317 |
Accurate and Fast Approximate Graph Pattern Mining at Scale |
2025 |
VLDB |
4.7639399e-05 |
| 7,607 |
Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods |
2025 |
VLDB |
4.6967024e-05 |
| 8,273 |
GraphINC: Graph Pattern Mining at Network Speed |
2023 |
SIGMOD |
4.5450209e-05 |
| 9,267 |
PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware |
2024 |
SIGMOD |
4.3663649e-05 |
| 9,561 |
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph |
2023 |
SIGMOD |
4.3254416e-05 |
| 10,084 |
GraphMatch: Subgraph Query Processing on Steroids |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,085 |
GraphTwin: Cache-Centric Bit-Level Graph Representation for Fast and Exact Graph Queries |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,670 |
X-Blossom: Massive Parallelization of Graph Maximum Matching |
2025 |
VLDB |
4.1945683e-05 |
| 10,733 |
Subgraph Matching: A New Decomposition Based Approach |
2025 |
VLDB |
4.1945683e-05 |
| 11,012 |
Everest: GPU-Accelerated System For Mining Temporal Motifs |
2024 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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VLDB |
4.1945683e-05 |